Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data von Nikolaev, Alexander G., Jacobson, Sheldon H., Tam Cho, Wendy K., Sauppe, Jason J., Sewell, Edward C.

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Understanding Significance Tests From a Non-Mixing Markov Chain for Partisan Gerrymandering Claims von Tam Cho, Wendy K., Rubinstein-Salzedo, Simon

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Naturalization, Socialization, Participation: Immigrants and (Non-) Voting von Tam Cho, Wendy K.

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Prospecting for (Campaign) Gold von Tam Cho, Wendy K., Gimpel, James G.

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Legislative Success in a Small World: Social Network Analysis and the Dynamics of Congressional Legislation von Tam Cho, Wendy K., Fowler, James H.

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Environmental Determinants of Racial Attitudes Redux: The Critical Decisions Related to Operationalizing Context von Tam Cho, Wendy K., Baer, Neil

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Rejoinder to "Understanding our Markov Chain Significance Test" von Tam Cho, Wendy K., Rubinstein-Salzedo, Simon

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An information theoretic approach to network tomography von Tam Cho, Wendy K., Judge, George

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Contagion Effects and Ethnic Contribution Networks von Tam Cho, Wendy K.

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An optimization approach for making causal inferences von Tam Cho, Wendy K., Sauppe, Jason J., Nikolaev, Alexander G., Jacobson, Sheldon H., Sewell, Edward C.

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The Limits of Ecological Inference: The Case of Split-Ticket Voting von Tam Cho, Wendy K., Gaines, Brian J.

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Geo-Graphs: An Efficient Model for Enforcing Contiguity and Hole Constraints in Planar Graph Partitioning von King, Douglas M., Jacobson, Sheldon H., Sewell, Edward C., Cho, Wendy K. Tam

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Testing Causal Theories with Learned Proxies von Knox, Dean, Lucas, Christopher, Cho, Wendy K. Tam

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Emanating Political Participation: Untangling the Spatial Structure Behind Participation von CHO, WENDY K TAM, RUDOLPH, THOMAS J

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A Bayesian Prediction Model for the U.S. Presidential Election von Rigdon, Steven E., Jacobson, Sheldon H., Tam Cho, Wendy K., Sewell, Edward C., Rigdon, Christopher J.

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Human-centered redistricting automation in the age of AI von Cho, Wendy K Tam, Cain, Bruce E

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Algorithms can foster a more democratic society von Cho, Wendy K. Tam

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PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis von Liu, Yan Y., Cho, Wendy K. Tam, Wang, Shaowen

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A parallel evolutionary multiple-try metropolis Markov chain Monte Carlo algorithm for sampling spatial partitions von Cho, Wendy K. Tam, Liu, Yan Y.

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An evolutionary algorithm for subset selection in causal inference models von Tam Cho, Wendy K.

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